{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# 时间范围\n",
    "time_range = pd.date_range('1/1/2020', periods=300, freq='D')\n",
    "\n",
    "def data_trend(time_range, trend_range, trend_type, trend_value, trend_period, if_random):\n",
    "    \"\"\"\n",
    "    time_range: list[int,int]\n",
    "    trend_type: [\"\",\"up\",\"down\"]\n",
    "    trend_value: float\n",
    "    trend_period: int\n",
    "    \"\"\"\n",
    "    if time_range[0] > time_range[1]:\n",
    "        raise ValueError(\"time_range[0] > time_range[1]\")\n",
    "\n",
    "    # 初始化\n",
    "    time_index = pd.date_range(\"1/1/2020\", periods=time_range[1], freq='D')\n",
    "    y = np.random.randn(time_range[1]- time_range[0])\n",
    "\n",
    "    if if_random:\n",
    "        trend_value = 0.5 * trend_value * np.random.randn(1)+trend_value\n",
    "\n",
    "    if trend_type == \"up\":\n",
    "        y[trend_range[0]: trend_range[1]] = np.random.randn(trend_range[1]-trend_range[0]) + trend_value\n",
    "    elif trend_type == \"down\":\n",
    "        y[trend_range[0]: trend_range[1]] = np.random.randn(trend_range[1]-trend_range[0]) -  trend_value\n",
    "    else:\n",
    "        y[trend_range[0]: trend_range[1]] = np.random.randn(trend_range[1]-trend_range[0])\n",
    "    return time_index, y\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 随机生成数据\n",
    "time_index, y = data_trend(time_range=[0,500], trend_range=[100,200] ,trend_type=\"up\", trend_value = 10,trend_period=30,if_random= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DatetimeIndex(['2020-01-01', '2020-01-02', '2020-01-03', '2020-01-04',\n",
      "               '2020-01-05', '2020-01-06', '2020-01-07', '2020-01-08',\n",
      "               '2020-01-09', '2020-01-10',\n",
      "               ...\n",
      "               '2021-05-05', '2021-05-06', '2021-05-07', '2021-05-08',\n",
      "               '2021-05-09', '2021-05-10', '2021-05-11', '2021-05-12',\n",
      "               '2021-05-13', '2021-05-14'],\n",
      "              dtype='datetime64[ns]', length=500, freq='D')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 原始数据\n",
    "print(time_index)\n",
    "data = pd.DataFrame({\"y\": y}, index = time_index)\n",
    "data.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"y\"].diff().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "f4e85e907670104c152c8c682f7cbed26e7b3ec972bc4fb51086e49b6ea4cba4"
  },
  "kernelspec": {
   "display_name": "Python 3.8.12 64-bit (conda)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
